2 research outputs found
Statistical data mining algorithms for optimising analysis of spectroscopic data from on-line NIR mill systems
Justin Sexton investigated techniques to identify atypical sugarcane from spectral data. He found that identifying atypical samples could help remove bias in estimates of CCS. His results can be used to track occurrences of atypical cane or improve quality estimates providing benefits at various stages along the industry value chain